Introduction

An introduction of the problem domain and a description of the variable(s) you are choosing to analyze (and why!)

Summary Information

Write a summary paragraph of findings that includes the 5 values calculated from your summary information R script

These will likely be calculated using your DPLYR skills, answering questions such as: 

Feel free to calculate and report values that you find relevant. Again, remember that the purpose is to think about how these measure of incarceration vary by race.

The Dataset

Who collected the data?

How was the data collected or generated?

Why was the data collected?

How many observations (rows) are in your data?

How many features (columns) are in the data?

What, if any, ethical questions or questions of power do you need to consider when working with this data? - Some questions to consider when working with this data is that it can be considered sensitive information. Lots of individuals have been sent to prison/jail and it can be a huge thing in their lives which means analysis on this data should not be taken lightly.

What are possible limitations or problems with this data? (at least 200 words)

Variable Comparison Chart

Include a chart. Make sure to describe why you included the chart, and what patterns emerged

The second chart that you will create and include will show how two different (continuous) variables are related to one another. Again, think carefully about what such a comparison means and what you want to communicate to your user (you may have to find relevant trends in the dataset first!). Here are some requirements to help guide your design:

Map

Chart:

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Description and Why:

Include a chart. Make sure to describe why you included the chart, and what patterns emerged